Item talk:Q57743
From geokb
{
"USGS Publications Warehouse": { "schema": { "@context": "https://schema.org", "@type": "CreativeWork", "additionalType": "USGS Numbered Series", "name": "Assessment of water resources and the potential effects from oil and gas development in the Bureau of Land Management Tri-County planning area, Sierra, Do\u00f1a Ana, and Otero Counties, New Mexico", "identifier": [ { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "sir20175151", "url": "https://pubs.usgs.gov/publication/sir20175151" }, { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse Internal ID", "value": 70194701 }, { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.3133/sir20175151", "url": "https://doi.org/10.3133/sir20175151" } ], "inLanguage": "en", "isPartOf": [ { "@type": "CreativeWorkSeries", "name": "Scientific Investigations Report" } ], "datePublished": "2018", "dateModified": "2018-02-07", "abstract": "The U.S. Geological Survey (USGS), in cooperation with the Bureau of Land Management, conducted a study to assess the water resources and potential effects on the water resources from oil and gas development in the Tri-County planning area, Sierra, Do\u00f1a Ana, and Otero Counties, New Mexico. Publicly available data were used to assess these resources and effects and to identify data gaps in the Tri-County planning area.The Tri-County planning area includes approximately 9.3\u00a0million acres and is within the eastern extent of the Basin and Range Province, which consists of mountain ranges and low elevation basins. Three specific areas of interest within the Tri-County planning area are the Jornada del Muerto, Tularosa Basin, and Otero Mesa, which is adjacent to the Salt Basin. Surface-water resources are limited in the Tri-County planning area, with the Rio Grande as the main perennial river flowing from north to south through Sierra and Do\u00f1a Ana Counties. The Tularosa Creek is an important surface-water resource in the Tularosa Basin. The Sacramento River, which flows southeast out of the Sacramento Mountains, is an important source of recharge to aquifers in the Salt Basin. Groundwater resources vary in aquifer type, depth to water, and water quality. For example, the Jornada del Muerto, Tularosa Basin, and Salt Basin each have shallow and deep aquifer systems, and water can range from freshwater, with less than 1,000\u00a0milligrams per liter (mg/L) of total dissolved solids, to brine, with greater than 35,000 mg/L of total dissolved solids. Water quality in the Tri-County planning area is affected by the dissolution of salt deposits and evaporation which are common in arid regions such as southern New Mexico. The potential for oil and gas development exists in several areas within the Tri-County area. As many as 81 new conventional wells and 25 coalbed natural gas wells could be developed by 2035. Conventional oil and gas well construction in the Tri-County planning area is expected to require 1.53 acre-feet (acre-ft) (500,000 gallons) of water per well, similar to requirements in the nearby Permian Basin of New Mexico, while construction of unconventional wells is expected to require 7.3 acre-ft of water per well. Produced waters in the Permian Basin have high total dissolved solids, in the brackish to brine range.Data gaps identified in this study include the limited detailed data on surface-water resources, the lack of groundwater data in areas of interest, and the lack of water chemistry data related to oil and gas development issues. Surface waters in the Tri-County planning area are sparse; some streams are perennial, and most are ephemeral. A more detailed study of the ephemeral channels and their interaction with groundwater could provide a better understanding of the importance of these surface-water resources. Groundwater data used in this study are from the USGS National Water Information System, which does not have continuous water-level depth data at many of the sites in the Tri-County planning area. On Otero Mesa, no recurrent groundwater-level data are available at any one site. The water-quality data compiled in this study provide a good overview of the general chemistry of groundwater in the Tri-County planning area. To fully understand the groundwater resources, it would be helpful to have more wells in specific areas of interest for groundwater-level and water-quality measurements.", "description": "Report: x, 87 p.; Data Release", "publisher": { "@type": "Organization", "name": "U.S. Geological Survey" }, "author": [ { "@type": "Person", "name": "Charles, Emmanuel G. echarles@usgs.gov", "givenName": "Emmanuel G.", "familyName": "Charles", "email": "echarles@usgs.gov", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0002-3338-4958", "url": "https://orcid.org/0000-0002-3338-4958" }, "affiliation": [ { "@type": "Organization", "name": "New Jersey Water Science Center", "url": "https://www.usgs.gov/centers/new-jersey-water-science-center" } ] }, { "@type": "Person", "name": "Blake, Johanna M. jmtblake@usgs.gov", "givenName": "Johanna M.", "familyName": "Blake", "email": "jmtblake@usgs.gov", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0003-4667-0096", "url": "https://orcid.org/0000-0003-4667-0096" }, "affiliation": [ { "@type": "Organization", "name": "New Mexico Water Science Center", "url": "https://www.usgs.gov/centers/new-mexico-water-science-center" } ] }, { "@type": "Person", "name": "Miltenberger, Keely kmiltenberger@usgs.gov", "givenName": "Keely", "familyName": "Miltenberger", "email": "kmiltenberger@usgs.gov" }, { "@type": "Person", "name": "Stewart, Anne M. astewart@usgs.gov", "givenName": "Anne M.", "familyName": "Stewart", "email": "astewart@usgs.gov", "affiliation": [ { "@type": "Organization", "name": "New Mexico Water Science Center", "url": "https://www.usgs.gov/centers/new-mexico-water-science-center" } ] }, { "@type": "Person", "name": "Ritchie, Andre abritchie@usgs.gov", "givenName": "Andre", "familyName": "Ritchie", "email": "abritchie@usgs.gov", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0003-1289-653X", "url": "https://orcid.org/0000-0003-1289-653X" }, "affiliation": [ { "@type": "Organization", "name": "New Mexico Water Science Center", "url": "https://www.usgs.gov/centers/new-mexico-water-science-center" } ] }, { "@type": "Person", "name": "Montoya, Jennifer", "givenName": "Jennifer", "familyName": "Montoya" }, { "@type": "Person", "name": "Durr, Corey", "givenName": "Corey", "familyName": "Durr" }, { "@type": "Person", "name": "McHugh, Amy R. amchugh@usgs.gov", "givenName": "Amy R.", "familyName": "McHugh", "email": "amchugh@usgs.gov", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0002-7745-9886", "url": "https://orcid.org/0000-0002-7745-9886" }, "affiliation": [ { "@type": "Organization", "name": "New Jersey Water Science Center", "url": "https://www.usgs.gov/centers/new-jersey-water-science-center" } ] } ], "funder": [ { "@type": "Organization", "name": "New Mexico Water Science Center", "url": "https://www.usgs.gov/centers/new-mexico-water-science-center" } ], "spatialCoverage": [ { "@type": "Place", "additionalType": "country", "name": "United States", "url": "https://geonames.org/4074035" }, { "@type": "Place", "additionalType": "state", "name": "New Mexico" }, { "@type": "Place", "additionalType": "state", "name": "Do\u00f1a Ana County" }, { "@type": "Place", "additionalType": "state", "name": "Otero County" }, { "@type": "Place", "additionalType": "state", "name": "Sierra County" }, { "@type": "Place", "geo": [ { "@type": "GeoShape", "additionalProperty": { "@type": "PropertyValue", "name": "GeoJSON", "value": { "type": "FeatureCollection", "features": [ { "type": "Feature", "geometry": { "type": "Polygon", "coordinates": [ [ [ -106.3733, 32.0017 ], [ -106.4575, 32.0014 ], [ -106.4743, 32.0014 ], [ -106.491, 32.0013 ], [ -106.5407, 32.0011 ], [ -106.558, 32.001 ], [ -106.576, 32.001 ], [ -106.6193, 32.0012 ], [ -106.619, 31.998 ], [ -106.6216, 31.996 ], [ -106.6266, 31.9951 ], [ -106.6306, 31.9937 ], [ -106.633, 31.9915 ], [ -106.6362, 31.9878 ], [ -106.6364, 31.9873 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